Integrating AI-Technology with Unmanned Aerial Vehicles for Traffic Congestion Recognition-Reference-Cited by-同舟云学术

Integrating AI-Technology with Unmanned Aerial Vehicles for Traffic Congestion Recognition

Published:2024-05-04 Issue: Volume: Page:239-245
ISSN:2581-9429
Container-title:International Journal of Advanced Research in Science, Communication and Technology
language:en
Short-container-title:IJARSCT

Author:

Miss. Sakshi Sakharam Patil ¹,Miss. Prajakta Ajay Satpute ¹,Miss. Aditi Sandip Landge ¹,Miss. Gunjal Monika Sandip ¹,Prof S.C. Deshmukh ¹

Affiliation:

1. Amrutvahini College of Engineering Sangamner, A. Nagar, India

Abstract

This article explores the integration of unmanned aerial vehicles (UAVs) and artificial intelligence (AI) technology to address traffic congestion. By leveraging UAVs equipped with route-planning capabilities, aerial images of traffic scenes are captured and analyzed using convolutional neural networks (CNNs). The processed data is then transmitted to a traffic management center, enabling timely recognition and response to congestion. This framework offers a practical approach to alleviate traffic delays, reduce fuel consumption, mitigate pollution, and enhance overall road safety

Publisher

Naksh Solutions

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